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Updated: Jan 20, 2026

Measurements of Physiological Stress Responses in C. Elegans
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On the replicability of physiological responses.

Lesley A Alton1,2, Candice L Bywater1,3, Elia Pirtle3

  • 1School of The Environment, The University of Queensland, St Lucia, QLD 4072, Australia.

The Journal of Experimental Biology
|January 19, 2026
PubMed
Summary

This study found that physiological responses to food restriction in skinks were highly replicable across different laboratories and species. Well-designed experiments with large effect sizes can overcome reproducibility challenges in science.

Keywords:
Food restrictionMetabolic depressionMetabolic ratePlasticityStarvation

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Area of Science:

  • Zoology
  • Physiology
  • Ecology

Background:

  • The scientific community faces a reproducibility crisis, with many findings difficult to replicate.
  • Physiological studies, particularly those involving animal models, are susceptible to laboratory-specific biases and complex methodologies, potentially exacerbating reproducibility issues.

Purpose of the Study:

  • To assess the replicability of food restriction effects on metabolic rate across different laboratories and species.
  • To investigate the impact of food restriction on metabolic scaling and level in skinks.

Main Methods:

  • A cross-laboratory manipulative study was conducted on seven skink species from the Egernia species complex.
  • Metabolic rate, metabolic scaling, and the effects of food restriction were measured across two universities.

Main Results:

  • Physiological responses to food restriction were found to be highly replicable across universities and species.
  • The slope of the interspecific metabolic scaling relationship was approximately one.
  • Food restriction led to an average 32% reduction in mass-independent rates of energy use.

Conclusions:

  • Well-designed studies with large effect sizes can be highly replicable, even in complex physiological research.
  • Explicitly incorporating replicability tests into study designs is valuable, especially for effects with small effect sizes.